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SEO keyword research with SemRush v1.0.0

Use this resource to find keywords and prioritize the SEO topics to target

New

  • 365 downloads
  • 125 likes
  • 248 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install keyword-research-semrush

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent queries the SemRush API to discover keywords from seeds, reviews volume and difficulty, classifies each query by search intent and groups topics into clusters. You get a prioritized list with the KOB score.

Mostly picked by

Updated November 2, 2026

Card for the “SEO keyword research with SemRush” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md : SemRush endpoints and database codes
  • SKILL.md : six-step process, from discovery to KOB score

Good fit for

  • You are choosing the topics for a new site
  • You are looking for content your competitors cover and you do not

Not for

    Tags

    • keywords
    • semrush
    • search intent
    • cluster

    About

    You say

    “Find high-potential keywords for a vegetarian cooking blog in France.”

    Card for the “SEO keyword research with SemRush” skill

    Skill published by openclaudia under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to find keywords and prioritize the SEO topics to target
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md16.3 KB

    Origin and licence

    Listed unmodified

    Author
    openclaudia
    Source
    github.com/openclaudia/openclaudia-skills/tree/e88f5a9fc726183cd3c90f5c279117bbae7da3b3/skills/keyword-research
    Licence
    MIT

    Notice

    « keyword-research » (openclaudia, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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